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Nishant RajputNR
Open to opportunities

Nishant Rajput

@nishantrajput1

Software Engineer building production LLM/RAG workflows and secure encryption tools for real-world products.

India
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What I'm looking for

I’m looking for a Software Engineer role where I can build production LLM/RAG features, strong backend services, and secure developer-first tooling—working with feedback-driven teams and shipping measurable performance improvements.

I’m a Software Engineer with 3 internships and 2 freelance products, currently building RAG pipelines and LLM workflows at Hortiprise.com. I focus on turning AI ideas into reliable, production-ready systems and clean backend services.

I built Retrieval-Augmented Generation (RAG) pipelines and vector-search systems for context-aware question answering. I also created AI-powered applications using Expo, FastAPI, LangChain, and LangGraph, with multi-step LLM workflows designed for practical use.

I published Kryptit, an open-source AES-256-GCM encryption SDK on npm, and I’ve shipped user-facing features across web and mobile. From a TanStack Query refactor that reduced unnecessary re-renders by 25% to optimizing simulation modules and cutting page interaction latency by ~70%, I care about performance, developer experience, and measurable impact.

Experience

Work history, roles, and key accomplishments

Hortiprise logoHO
Current

SDE Intern

Hortiprise

Mar 2026 - Present (4 months)

Built AI-powered applications and multi-step LLM workflows using Expo, FastAPI, LangChain, and LangGraph. Engineered RAG pipelines and vector-search systems for context-aware question answering and information retrieval.

FR

App Developer Intern

Frequer

Jun 2025 - Dec 2025 (6 months)

Refactored key modules using TanStack Query to reduce unnecessary re-renders and improve user experience. Collaborated via code reviews and async discussions with senior engineers to ship features with minimal defects.

Education

Degrees, certifications, and relevant coursework

BU

Bundelkhand University

Bachelor of Technology, Computer Science Engineering

2023 -

Grade: 8.05/10

B.Tech in Computer Science Engineering at Bundelkhand University, Jhansi (GPA 8.05/10).

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